Daniel Levy
@dnllvy
PhD student at @McGillU and @Mila_Quebec
If you're at #ICLR come check out our poster on symmetric crystal generation! We're at poster #07.
Symmetry is the fundamental property of crystals, yet generative models don't yield crystals with realistic symmetries We solved that with SymmCD and can get crystals from any of the 230 space groups Learn more at our #ICLR poster w/@dnllvy @sibasmarak arxiv.org/abs/2502.03638 🧵
Symmetry is the fundamental property of crystals, yet generative models don't yield crystals with realistic symmetries We solved that with SymmCD and can get crystals from any of the 230 space groups Learn more at our #ICLR poster w/@dnllvy @sibasmarak arxiv.org/abs/2502.03638 🧵
⚛️🤗 Announcing LeMaterial ⚛️🤗 @huggingface & @entalpic_ai are teaming up to release LeMaterial -- an open source initiative aiming to facilitate (AI for) materials discovery ! Datasets, hash function, tools to explore the chemical space & more ! huggingface.co/blog/lematerial
I'm at #NeurIPS2024 this week, presenting our work SymmCD at the #ai4mat workshop! openreview.net/forum?id=V7x2K… Come check it out, and feel free to message me to meet up, especially if you want to chat about generative modelling for materials, crystals, and symmetry!
Thrilled to launch EquiAdapt! 🚀 A library for equivariant adaptation of neural networks, including SAM by @AIatMeta, making them robust to transformations without losing efficiency: github.com/arnab39/equiad… w/ @ArnabMondal96 @DanieBenes @sekoumarkaba @GagnonJikael 🧵
Want to make your model equivariant to certain known transformations without changing the network architecture? Please attend our contributed talk at 11AM @neur_reps to know how we achieve this by adding a simple shallow network that learns to canonicalize the input. #NeurIPS2022